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Production of regular and non-regular verbs : evidence for a lexical entry complexity account
(2010)
The incredible productivity and creativity of language depends on two fundamental resources: a mental lexicon and a mental grammar. Rules of grammar enable us to produce and understand complex phrases we have not encountered before and at the same time constrain the computation of complex expressions. The concepts of the mental lexicon and mental grammar have been thoroughly tested by comparing the use of regular versus non-regular word forms. Regular verbs (e.g. walk-walked) are computed using a suffixation rule in a neural system for grammatical processing; non-regular verbs (run-ran) are retrieved from associative memory. The role of regularity has only been explored for the past tense, where regularity is overtly visible. To explore the representation and encoding of regularity as well as the inflectional processes involved in the production of regular and non-regular verbs, this dissertation investigated three groups of German verbs: regular, irregular and hybrid verbs. Hybrid verbs in German have completely regular conjugation in the present tense and irregular conjugation in the past tense. Articulation latencies were measured while participants named pictures of actions, producing the 3rd person singular of regular, hybrid, and irregular verbs in present and past tense. Studying the production of German verbs in past and present tense, this dissertation explored the complexity of lexical entries as a decisive factor in the production of verbs.
Switches between political and administrative positions seem to be quite common in today’s politics, or at least not so unusual any longer. Nevertheless, up-to-date empirical studies on this issue are lacking. This paper investigates the presumption, that in recent years top bureaucrats have become more politicised, while at the same time more politicians stem from a bureaucratic background, by looking at the career paths of both. For this purpose, we present new empirical evidence on career patterns of top bureaucrats and executive politicians both at Federal and at Länder level. The data was collected from authorized biographies published at the websites of the Federal and Länder ministries for all Ministers, Parliamentary State Secretaries and Administrative State Secretaries who held office in June 2009.
Nanofibrous mats are interesting scaffold materials for biomedical applications like tissue engineering due to their interconnectivity and their size dimension which mimics the native cell environment. Electrospinning provides a simple route to access such fiber meshes. This thesis addresses the structural and functional control of electrospun fiber mats. In the first section, it is shown that fiber meshes with bimodal size distribution could be obtained in a single-step process by electrospinning. A standard single syringe set-up was used to spin concentrated poly(ε-caprolactone) (PCL) and poly(lactic-co-glycolic acid) (PLGA) solutions in chloroform and meshes with bimodal-sized fiber distribution could be directly obtained by reducing the spinning rate at elevated humidity. Scanning electron microscopy (SEM) and mercury porosity of the meshes suggested a suitable pore size distribution for effective cell infiltration. The bimodal fiber meshes together with unimodal fiber meshes were evaluated for cellular infiltration. While the micrometer fibers in the mixed meshes generate an open pore structure, the submicrometer fibers support cell adhesion and facilitate cell bridging on the large pores. This was revealed by initial cell penetration studies, showing superior ingrowth of epithelial cells into the bimodal meshes compared to a mesh composed of unimodal 1.5 μm fibers. The bimodal fiber meshes together with electrospun nano- and microfiber meshes were further used for the inorganic/organic hybrid fabrication of PCL with calcium carbonate or calcium phosphate, two biorelevant minerals. Such composite structures are attractive for the potential improvement of properties such as stiffness or bioactivity. It was possible to encapsulate nano and mixed sized plasma-treated PCL meshes to areas > 1 mm2 with calcium carbonate using three different mineralization methods including the use of poly(acrylic acid). The additive seemed to be useful in stabilizing amorphous calcium carbonate to effectively fill the space between the electrospun fibers resulting in composite structures. Micro-, nano- and mixed sized fiber meshes were successfully coated within hours by fiber directed crystallization of calcium phosphate using a ten-times concentrated simulated body fluid. It was shown that nanofibers accelerated the calcium phosphate crystallization, as compared to microfibers. In addition, crystallizations performed at static conditions led to hydroxyapatite formations whereas in dynamic conditions brushite coexisted. In the second section, nanofiber functionalization strategies are investigated. First, a one-step process was introduced where a peptide-polymer-conjugate (PLLA-b-CGGRGDS) was co-spun with PLGA in such a way that the peptide is enriched on the surface. It was shown that by adding methanol to the chloroform/blend solution, a dramatic increase of the peptide concentration at the fiber surface could be achieved as determined by X-ray photoelectron spectroscopy (XPS). Peptide accessibility was demonstrated via a contact angle comparison of pure PLGA and RGD-functionalized fiber meshes. In addition, the electrostatic attraction between a RGD-functionalized fiber and a silica bead at pH ~ 4 confirmed the accessibility of the peptide. The bioactivity of these RGD-functionalized fiber meshes was demonstrated using blends containing 18 wt% bioconjugate. These meshes promoted adhesion behavior of fibroblast compared to pure PLGA meshes. In a second functionalization approach, a modular strategy was investigated. In a single step, reactive fiber meshes were fabricated and then functionalized with bioactive molecules. While the electrospinning of the pure reactive polymer poly(pentafluorophenyl methacrylate) (PPFPMA) was feasible, the inherent brittleness of PPFPMA required to spin a PCL blend. Blends and pure PPFPMA showed a two-step functionalization kinetics. An initial fast reaction of the pentafluorophenyl esters with aminoethanol as a model substance was followed by a slow conversion upon further hydrophilization. This was analysed by UV/Vis-spectroscopy of the pentaflurorophenol release upon nucleophilic substitution with the amines. The conversion was confirmed by increased hydrophilicity of the resulting meshes. The PCL/PPFPMA fiber meshes were then used for functionalization with more complex molecules such as saccharides. Aminofunctionalized D-Mannose or D-Galactose was reacted with the active pentafluorophenyl esters as followed by UV/Vis spectroscopy and XPS. The functionality was shown to be bioactive using macrophage cell culture. The meshes functionalized with D-Mannose specifically stimulated the cytokine production of macrophages when lipopolysaccharides were added. This was in contrast to D-Galactose- or aminoethanol-functionalized and unfunctionalized PCL/PPFPMA fiber mats.
Contents: Production and Applications of Chitin and Chitosan Krill as a promising raw material for the production of chitin in Europe - Containerized plant for producing chitin - Preparation and characterization of chitosan from Mucorales - Chitosan from Absidia orchidis - Scaling up of lactic acid fermentation of prawn wastes in packed-bed column reactor for chitin recovery - Preparation of chitin by acetic acid fermentation - Inter-source reproducibility of the chitin deacetylation process - Comparative analysis of chitosans from insects and crustacea - Effect of the rate of deacetylation on the physico-chemical properties of cuttlefish chitosan - Deacetylation of chitin by fungal enzymes - Production of partially degraded chitosan with desired molecular weight - Chitin-containing materials Mycoton for wounds treatment - Biological activity of selected forms of chitosan - Application of chitosan on the preservation quality of cut flowers - Preparation and characterization of chitosan films: application in cell cultures - Transport phenomena in chitin gels - Symplex membranes of chitosan and sulphoethylcellulose - Preparation and use of chitosan-Ca pectinate pellets - Bioseparation of protein from cheese whey by using chitosan coagulation and ultrafiltration membranes - Preparation of silk fibroin/chitosan fiber - Preparation of paper sheets containing microcrystalline chitosan - Applications of chitosan in textile printing - Permanent modification of fibrous materials with biopolymers - Ion exchanger from chitosan - Chitosan in waste water treatment - The immobilization of tyrosinase on chitin and chitosan and its possible use in wastewater treatment - Utilization of modified chitosan in aqueous system treatment Biomaterials Chemical and preclinical studies on 6-oxychitin - Diverse biological effects of fungal chitin-glucan complex - Effect of concentration of neutralizing agent on chitosan membrane properties - Preliminary investigation of the compatibility of a chitosan-based peritoneal dialysis solution - Influence of chitosan on the growth of several cellular lines - A new chitosan containing phosphonic group with chelating properties - Biocompatibility of chitin materials using cell culture method Oral Administration of Chitosan Recent results in the oral administration of chitosan - Reduction of absorption of dietary lipids and cholesterol by chitosan, its derivatives and special formulations - Chitosan in weight reduction: results from a large scale consumer study - Conformation of chitosan ascorbic acid salt - Trimethylated chitosans as safe absorption enhancers for transmucosal delivery of peptide drugs - Chitosan derivates as intestinal penetration enhancers of the peptide drug buserelin in vivo and in vitro - Chitosan microparticles for oral vaccination: optimization and characterization - Effect of chitosan in enhancing drug delivery across buccal mucosa - Influence of chitosans on permeability of human intestinal epithelial (Caco-2) cells: The effect of molecular weight, degree of deacetylation and exposure time - Oral polymeric N-acetyl-D-glucosamine as potential treatment for patients with osteoarthritis - Clinicoimmunological efficiency of the chitin-containing drug Mycoton in complex treatment of a chronic hepatitis - Interactions of chitin, chitosan, N-laurylchitosan, and N-dimethylaminopropyl chitosan with olive oil - The chitin-containing preparation Mycoton in a pediatric gastroenterology case - Antifungal activity and release behaviour of cross-linked chitosan films incorporated with chlorhexidine gluconate - Release of N-acetyl-D-glucosamine from chitosan in saliva - Physical and Physicochemical Properties Recent approach of metal binding by chitosan and derivatives - As(V) sorption on molybdate-impregnated chitosan gel beads (MICB) - Influence of medium pH on the biosorption of heavy metals by chitin-containing sorbent Mycoton - Comparative studies on molecular chain parameters of polyelectrolyte chains: the stiffness parameter B and temperature coefficient of intrinsic viscosity of chitosans and poly(diallyldimethylammonium chloride) - Crystalline behavior of chitosan - The relationship between the crystallinity and degree of deacetylation of chitin from crab shell - Reversible water-swellable chitin gel: modulation of swellability - Syneresis aspects of chitosan based gel systems - In situ chitosan gelation using the enzyme tyrosinase - Preparation and characterization of controlling pore size chitosan membranes - Fabrication of porous chitin matrices - Changes of polydispersity and limited molecular weight of ultrasonic treated chitosan - A statistical evaluation of IR spectroscopic methods to determine the degree of acetylation of ?-chitin and chitosan - Products of alkaline hydrolysis of dibutyrylchitin: chemical composition and DSC investigation - Chitosan emulsification properties Chemistry of Chitin and Chitosan Chemically modified chitinous materials: preparation and properties - Progress on the modification of chitosan - The graft copolymerization of chitosan with methyl acrylate using an organohalide-manganese carbonyl coinitiator system - Grafting of 4-vinylpyridine, maleic acid and maleic anhydride onto chitin and chitosan - Peptide synthesis on chitosan/chitin - Graft copolymerization of methyl methacrylate onto mercapto-chitin - Thermal depolymerization of chitosan salts - Radiolysis and sonolysis of chitosan - two convenient techniques for a controlled reduction of molecular weight - Thermal and UV degradation of chitosan - Heat-induced physicochemical changes in highly deacetylated chitosan - Chitosan fiber and its chemical N-modification at the fiber state for use as functional materials - Preparation of a fiber reactive chitosan derivative with enhanced microbial activity - Chromatographic separation of rare earths with complexane types of chemically modified chitosan - The effects of detergents on chitosan - Chitosan-alginate PEC films prepared from chitosan of different molecular weights - Enzymology of Chitin and Chitosan Biosynthesis and Degradation Enzymes of chitin metabolism for the design of antifungals - Enzymatic degradation of chitin by microorganisms - Kinetic behaviours of chitinase isozymes - An acidic chitinase from gizzards of broiler (Gallus gallus L.) - On the contribution of conserved acidic residues to catalytic activity of chitinase B from Serratia marcescens - Detection, isolation and preliminary characterisation of a new hyperthermophilic chitinase from the anaerobic archaebacterium Thermococcus chitonophagus - Biochemical and genetic engineering studies on chitinase A from Serratia marcescens - Induction of chitinase production by Serratia marcescens, using a synthetic N-acetylglucosamine derivative - Libraries of chito-oligosaccharides of mixed acetylation patterns and their interactions with chitinases - Approaches towards the design of new chitinase inhibitors - Allosamidin inhibits the fragmentation and autolysis of Penicillium chrysogenum - cDNA encoding chitinase in the midge, Chironomus tentans - Extraction and purification of chitosanase from Bacillus cereus - Substrate binding mechanism of chitosanase from Streptomyces sp. N174 - Chitosanase-catalyzed hydrolysis of 4-methylumbelliferyl ?-chitotrioside - A rust fungus turns chitin into chitosan upon plant tissue colonization to evade recognition by the host - Antibiotic kanosamine is an inhibitor of chitin biosynthesis in fungi - PCR amplification of chitin deacetylase genes - Amplification of antifungal effect of GlcN-6-P synthase and chitin synthase inhibitors - ?-N-Acetylhexosaminidases: two enzyme families, two mechanisms - Purification and characterisation of chitin deacetylase from Absidia orchidis - Effect of aluminium ion on hydrolysis reaction of carboxymethyl- and dihydroxypropyl-chitin with lysozyme - Structure and function relatioship of human N-acetyl-D-glucosamine 2-epimerase (renin binding protein) - Identification of active site residue(s)
Fire prone Mediterranean-type vegetation systems like those in the Mediterranean Basin and South-Western Australia are global hot spots for plant species diversity. To ensure management programs act to maintain these highly diverse plant communities, it is necessary to get a profound understanding of the crucial mechanisms of coexistence. In the current literature several mechanisms are discussed. The objective of my thesis is to systematically explore the importance of potential mechanisms for maintaining multi-species, fire prone vegetation by modelling. The model I developed is spatially-explicit, stochastic, rule- and individual-based. It is parameterised on data of population dynamics collected over 18 years in the Mediterranean-type shrublands of Eneabba, Western Australia. From 156 woody species of the area seven plant traits have been identified to be relevant for this study: regeneration mode, annual maximum seed production, seed size, maximum crown diameter, drought tolerance, dispersal mode and seed bank type. Trait sets are used for the definition of plant functional types (PFTs). The PFT dynamics are simulated annual by iterating life history processes. In the first part of my thesis I investigate the importance of trade-offs for the maintenance of high diversity in multi-species systems with 288 virtual PFTs. Simulation results show that the trade-off concept can be helpful to identify non-viable combinations of plant traits. However, the Shannon Diversity Index of modelled communities can be high despite of the presence of ‘supertypes’. I conclude, that trade-offs between two traits are less important to explain multi-species coexistence and high diversity than it is predicted by more conceptual models. Several studies show, that seed immigration from the regional seed pool is essential for maintaining local species diversity. However, systematical studies on the seed rain composition to multi-species communities are missing. The results of the simulation experiments, as presented in part two of this thesis, show clearly, that without seed immigration the local species community found in Eneabba drifts towards a state with few coexisting PFTs. With increasing immigration rates the number of simulated coexisting PFTs and Shannon diversity quickly approaches values as also observed in the field. Including the regional seed input in the model is suited to explain more aggregated measures of the local plant community structure such as species richness and diversity. Hence, the seed rain composition should be implemented in future studies. In the third part of my thesis I test the sensitivity of Eneabba PFTs to four different climate change scenarios, considering their impact on both local and regional processes. The results show that climate change clearly has the potential to alter the number of dispersed seeds for most of the Eneabba PFTs and therefore the source of the ‘immigrants’ at the community level. A classification tree analysis shows that, in general, the response to climate change was PFT-specific. In the Eneabba sand plains sensitivity of a PFT to climate change depends on its specific trait combination and on the scenario of environmental change i.e. development of the amount of rainfall and the fire frequency. This result emphasizes that PFT-specific responses and regional process seed immigration should not be ignored in studies dealing with the impact of climate change on future species distribution. The results of the three chapters are finally analysed in a general discussion. The model is discussed and improvements and suggestions are made for future research. My work leads to the following conclusions: i) It is necessary to support modelling with empirical work to explain coexistence in species-rich plant communities. ii) The chosen modelling approach allows considering the complexity of coexistence and improves the understanding of coexistence mechanisms. iii) Field research based assumptions in terms of environmental conditions and plant life histories can relativise the importance of more hypothetic coexistence theories in species-rich systems. In consequence, trade-offs can play a lower role than predicted by conceptual models. iv) Seed immigration is a key process for local coexistence. Its alteration because of climate change should be considered for prognosis of coexistence. Field studies should be carried out to get data on seed rain composition.
Many cellular processes require decision making mechanisms, which must act reliably even in the unavoidable presence of substantial amounts of noise. However, the multistable genetic switches that underlie most decision-making processes are dominated by fluctuations that can induce random jumps between alternative cellular states. Here we show, via theoretical modeling of a population of noise-driven bistable genetic switches, that reliable timing of decision-making processes can be accomplished for large enough population sizes, as long as cells are globally coupled by chemical means. In the light of these results, we conjecture that cell proliferation, in the presence of cell-cell communication, could provide a mechanism for reliable decision making in the presence of noise, by triggering cellular transitions only when the whole cell population reaches a certain size. In other words , the summation performed by the cell population would average out the noise and reduce its detrimental impact.
Background: Biological systems adapt to changing environments by reorganizing their cellula r and physiological program with metabolites representing one important response level. Different stresses lead to both conserved and specific responses on the metabolite level which should be reflected in the underl ying metabolic network. Methodology/Principal Findings: Starting from experimental data obtained by a GC-MS based high-throughput metabolic profiling technology we here develop an approach that: (1) extracts network representations from metabolic conditiondependent data by using pairwise correlations, (2) determines the sets of stable and condition-dependent correlations based on a combination of statistical significance and homogeneity tests, and (3) can identify metabolites related to the stress response, which goes beyond simple ob servation s about the changes of metabolic concentrations. The approach was tested with Escherichia colias a model organism observed under four different environmental stress conditions (cold stress, heat stress, oxidative stress, lactose diau xie) and control unperturbed conditions. By constructing the stable network component, which displays a scale free topology and small-world characteristics, we demonstrated that: (1) metabolite hubs in this reconstructed correlation networks are significantly enriched for those contained in biochemical networks such as EcoCyc, (2) particular components of the stable network are enriched for functionally related biochemical path ways, and (3) ind ependently of the response scale, based on their importance in the reorganization of the cor relation network a set of metabolites can be identified which represent hypothetical candidates for adjusting to a stress-specific response. Conclusions/Significance: Network-based tools allowed the identification of stress-dependent and general metabolic correlation networks. This correlation-network-ba sed approach does not rely on major changes in concentration to identify metabolites important for st ress adaptation, but rather on the changes in network properties with respect to metabolites. This should represent a useful complementary technique in addition to more classical approaches.
Rain fall-runoff response in temperate humid headwater catchments is mainly controlled by hydrolo gical processes at the hillslope scale. Applied tracer experiments with fluore scent dye and salt tracers are well known tools in groundwater studies at the large scale and vadose zone studies at the plot scale, where they provide a means to characterise subsurface flow. We extend this approach to the hillslope scale to investigate saturated and unsaturated flow path s concertedly at a forested hill slope in the Austrian Alps. Dye staining experiments at the plot scale revealed that crack s and soil pipe s function as preferential flow path s in the fine-textured soils of the study area, and these preferenti al flow structures were active in fast subsurface transport of tracers at the hillslope scale. Breakthrough curves obtained under steady flow conditions could be fitted well to a one-dimensional convection-dispersion model. Under natural rain fall a positive correlation of tracer concentrations to the transient flows was observed. The results of this study demon strate qualitative and quantitative effects of preferential flow feature s on subsurface stormflow in a temperate humid headwater catchment. It turn s out that , at the hill slope scale, the interaction s of structures and processes are intrinsically complex, which implies that attempts to model such a hillslope satisfactorily require detailed investigation s of effective structures and parameters at the scale of interest.
Normal aging is associated with a decline in different cognitive domains and local structural atrophy as well as decreases in dopamine concentration and receptor density. To date, it is largely unknown how these reductions in dopaminergic neurotransmission affect human brain regions responsible for reward-based decision making in older adults. Using a learning criterion in a probabilistic object reversal task, we found a learning stage by age interaction in the dorsolateral prefrontal cortex (dIPFC) during decision making. While young adults recruited the dlPFC in an early stage of learning reward associations, older adults recruited the dlPFC when reward associations had already been learned. Furthermore, we found a reduced change in ventral striatal BOLD signal in older as compared to younger adults in response to high probability rewards. Our data are in line with behavioral evidence that older adults show altered stimulus-reward learning and support the view of an altered fronto-striatal interaction during reward-based decision making in old age, which contributes to prolonged learning of reward associations.
The study of non-coding RNA genes has received increased attention in recent years fuelled by accumulating evidence that larger portions of genomes than previously acknowledged are transcribed into RNA molecules of mostly unknown function, as well as the discovery of novel non-coding RNA types and functional RNA elements. Here, we demonstrate that specific properties of graphs that represent the predicted RNA secondary structure reflect functional information. We introduce a computational algorithm and an associated web-based tool (GraPPLE) for classifying non-coding RNA molecules as functional and, furthermore, into Rfam families based on their graph properties. Unlike sequence-similarity-based methods and covariance models, GraPPLE is demonstrated to be more robust with regard to increasing sequence divergence, and when combined with existing methods, leads to a significant improvement of prediction accuracy. Furthermore, graph properties identified as most informative are shown to provide an understanding as to what particular structural features render RNA molecules functional. Thus, GraPPLE may offer a valuable computational filtering tool to identify potentially interesting RNA molecules among large candidate datasets.